36 citations as recorded by crossref.

1. Improving estimates of tropical peatland area, carbon storage, and greenhouse gas fluxes I. Lawson et al. 10.1007/s11273-014-9402-2
2. Linking lidar and forest modeling to assess biomass estimation across scales and disturbance states N. Knapp et al. 10.1016/j.rse.2017.11.018
3. Canopy area of large trees explains aboveground biomass variations across neotropical forest landscapes V. Meyer et al. 10.5194/bg-15-3377-2018
4. High-resolution data reveal a surge of biomass loss from temperate and Atlantic pine forests, contextualizing the 2022 fire season distinctiveness in France L. Vallet et al. 10.5194/bg-20-3803-2023
5. Land-Cover and Elevation-Based Mapping of Aboveground Carbon in a Tropical Mixed-Shrub Forest Area in West Java, Indonesia E. Sumarga et al. 10.3390/f11060636
6. Estimation of aboveground carbon stock using Sentinel-2A data and Random Forest algorithm in scrub forests of the Salt Range, Pakistan S. Bhatti et al. 10.1093/forestry/cpac036
7. Current remote sensing approaches to monitoring forest degradation in support of countries measurement, reporting and verification (MRV) systems for REDD+ A. Mitchell et al. 10.1186/s13021-017-0078-9
8. Canopy Height and Above-Ground Biomass Retrieval in Tropical Forests Using Multi-Pass X- and C-Band Pol-InSAR Data A. Berninger et al. 10.3390/rs11182105
9. Tools for Assessing the Impacts of Climate Variability and Change on Wildfire Regimes in Forests H. Herawati et al. 10.3390/f6051476
10. SAR-Based Estimation of Above-Ground Biomass and Its Changes in Tropical Forests of Kalimantan Using L- and C-Band A. Berninger et al. 10.3390/rs10060831
11. Estimating above-ground biomass of tropical rainforest of different degradation levels in Northern Borneo using airborne LiDAR K. Ioki et al. 10.1016/j.foreco.2014.06.003
12. Computer and remote‐sensing infrastructure to enhance large‐scale testing of individual‐based forest models H. Shugart et al. 10.1890/140327
13. An IPCC-Compliant Technique for Forest Carbon Stock Assessment Using Airborne LiDAR-Derived Tree Metrics and Competition Index C. Lin et al. 10.3390/rs8060528
14. Airborne laser scanning of natural forests in New Zealand reveals the influences of wind on forest carbon D. Coomes et al. 10.1186/s40663-017-0119-6
15. LIDAR-Based Forest Biomass Remote Sensing: A Review of Metrics, Methods, and Assessment Criteria for the Selection of Allometric Equations A. Borsah et al. 10.3390/f14102095
16. Review of Remote Sensing Methods to Map Coffee Production Systems D. Hunt et al. 10.3390/rs12122041
17. Top Canopy Height and Stem Size Variation Enhance Aboveground Biomass across Spatial Scales in Seasonal Tropical Forests Z. Sun et al. 10.3390/plants12061343
18. Using repeated small-footprint LiDAR acquisitions to infer spatial and temporal variations of a high-biomass Neotropical forest M. Réjou-Méchain et al. 10.1016/j.rse.2015.08.001
19. Observed variation in soil properties can drive large variation in modelled forest functioning and composition during tropical forest secondary succession D. Medvigy et al. 10.1111/nph.15848
20. Evaluating the Potential of ALS Data to Increase the Efficiency of Aboveground Biomass Estimates in Tropical Peat–Swamp Forests P. Magdon et al. 10.3390/rs10091344
21. Dynamics of a human‐modified tropical peat swamp forest revealed by repeat lidar surveys B. Wedeux et al. 10.1111/gcb.15108
22. Multisensor Data Fusion for Improved Segmentation of Individual Tree Crowns in Dense Tropical Forests M. Aubry-Kientz et al. 10.1109/JSTARS.2021.3069159
23. Area-based vs tree-centric approaches to mapping forest carbon in Southeast Asian forests from airborne laser scanning data D. Coomes et al. 10.1016/j.rse.2017.03.017
24. Assessing the effects of large herbivores on the three-dimensional structure of temperate forests using terrestrial laser scanning S. Li et al. 10.1016/j.foreco.2021.119985
25. Assessment of Errors Caused by Forest Vegetation Structure in Airborne LiDAR-Derived DTMs J. Simpson et al. 10.3390/rs9111101
26. Estimation of Forest Aboveground Biomass of Two Major Conifers in Ibaraki Prefecture, Japan, from PALSAR-2 and Sentinel-2 Data H. Li et al. 10.3390/rs14030468
27. Tropical Peatland Vegetation Structure and Biomass: Optimal Exploitation of Airborne Laser Scanning C. Brown et al. 10.3390/rs10050671
28. Estimating aboveground carbon density and its uncertainty in Borneo's structurally complex tropical forests using airborne laser scanning T. Jucker et al. 10.5194/bg-15-3811-2018
29. Remote sensing of forest degradation in Southeast Asia—Aiming for a regional view through 5–30 m satellite data J. Miettinen et al. 10.1016/j.gecco.2014.07.007
30. The structure of tropical forests and sphere packings F. Taubert et al. 10.1073/pnas.1513417112
31. Revealing Three-Dimensional Variations in Fuel Structures in Subtropical Forests through Backpack Laser Scanning P. Kang et al. 10.3390/f15010155
32. Characterizing forest structure variations across an intact tropical peat dome using field samplings and airborne LiDAR H. Nguyen et al. 10.1890/15-0017
33. Harnessing terrestrial laser scanning to predict understory biomass in temperate mixed forests S. Li et al. 10.1016/j.ecolind.2020.107011
34. Above-ground biomass estimation using airborne discrete-return and full-waveform LiDAR data in a coniferous forest S. Nie et al. 10.1016/j.ecolind.2017.02.045
35. Towards Operational Monitoring of Forest Canopy Disturbance in Evergreen Rain Forests: A Test Case in Continental Southeast Asia A. Langner et al. 10.3390/rs10040544
36. Tree biomass equations for tropical peat swamp forest ecosystems in Indonesia S. Manuri et al. 10.1016/j.foreco.2014.08.031